What prerequisites are needed?
Python 3.11+, pip, a Google Account with Search Console access, and the Claude Desktop app installed and running.
@metehan777
基本情報
It connects directly to your Google Search Console account via the official API, letting you access key data right from AI tools like Claude Desktop or OpenAI Agents SDK and others .
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"google-search-console-mcp-metehan777": {
"command": "python3",
"args": [
"-m",
"venv",
"fresh_env"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
This MCP server allows Claude AI (via the Claude Desktop app) to interact with the Google Search Console API. It enables querying search performance data, inspecting URLs, checking indexing status, and managing sitemaps directly from the Claude chat.
Set up a Python 3.11+ virtual environment, install dependencies with pip install -e ., and place a downloaded credentials.json from Google Cloud (OAuth Desktop app) in the project root. Add the server to the Claude Desktop config (claude_desktop_config.json) with the absolute path to the virtual environment’s python3 binary and -m main as arguments. On first tool use, your browser will open for Google OAuth authentication, creating a token.json file.
Python 3.11+, pip, a Google Account with Search Console access, and the Claude Desktop app installed and running.
OAuth client ID is stored in a `credentials.json` file in the project root. After first authorization, an access `token.json` file is created – both should be kept private and not committed.
You can query search analytics (clicks, impressions, CTR, position), inspect individual URLs, list sites, and manage sitemaps. Index coverage details and crawl errors beyond the URL Inspection API are not exposed.
The server uses Google OAuth 2.0 with a "Desktop app" OAuth client. On first tool call, your browser opens to log in and grant permissions; subsequent calls reuse the stored `token.json`.
The server uses stdio transport, listening for JSON-RPC messages on standard input/output, and logs are printed to standard error.
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